{"title":"Facebook区域讨论组的意见挖掘:在讨论组中识别健康、教育和安全职位的案例研究","authors":"Leonardo Augusto Sápiras, Rodrigo Antônio Weber","doi":"10.1145/3330204.3330221","DOIUrl":null,"url":null,"abstract":"This paper presents the results a case study that apply opinion mining about health, security and education, using as source discussions in Facebook regional groups. The method used is quite different from other researches because it propose an approach to identify regional posts. Five different supervisioned learning algorithms was applied during the classification step. The results show that region's posts can be identified with this new approach.","PeriodicalId":348938,"journal":{"name":"Proceedings of the XV Brazilian Symposium on Information Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Opinion Mining in Facebook Regional Discussion Groups: A Case Study to Identify Health, Education and Security Posts in Discussion Groups\",\"authors\":\"Leonardo Augusto Sápiras, Rodrigo Antônio Weber\",\"doi\":\"10.1145/3330204.3330221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the results a case study that apply opinion mining about health, security and education, using as source discussions in Facebook regional groups. The method used is quite different from other researches because it propose an approach to identify regional posts. Five different supervisioned learning algorithms was applied during the classification step. The results show that region's posts can be identified with this new approach.\",\"PeriodicalId\":348938,\"journal\":{\"name\":\"Proceedings of the XV Brazilian Symposium on Information Systems\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the XV Brazilian Symposium on Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3330204.3330221\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the XV Brazilian Symposium on Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3330204.3330221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Opinion Mining in Facebook Regional Discussion Groups: A Case Study to Identify Health, Education and Security Posts in Discussion Groups
This paper presents the results a case study that apply opinion mining about health, security and education, using as source discussions in Facebook regional groups. The method used is quite different from other researches because it propose an approach to identify regional posts. Five different supervisioned learning algorithms was applied during the classification step. The results show that region's posts can be identified with this new approach.
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